Bibliographic record
Abstract
This report uses data collected by the Survey of Older Workers to provide some insight into how older workers (aged 50 to 75) in Canada are thinking about work and retirement. The survey also offers some context about how recent retirees have approached retirement and examines the factors that influence the decision-making process involved in choosing between work and retirement or some middle-ground. Labour force attachment is examined and it is revealed that 90 per cent of workers are satisfied or very satisfied with their current position and that workers in Atlantic Canada indicated being less stressed. It is also observed that self-employment is higher for older male workers than other groups. A second area of investigation encompassed the displacement and unemployment of older workers and the concerns this raised for older workers. Based on the survey data, 73 per cent of those aged 50 and over who had experienced a displacement were working at the time of the survey either in a new job or at their old job. The clear majority of older workers were planning to retire at the age of 65 from both their job and the labour force. Not surprisingly the most important reason for 'first retirement' was financial readiness (30 per cent).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.005 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".